Ruan Chaves
@ruanchaves
AI Engineer building GenAI, RAG, NLP systems—focused on reliable, scalable, cost-aware agentic AI.
What I'm looking for
I’m an AI Engineer with 5+ years of experience building GenAI, RAG, NLP, and applied machine learning systems. I’ve delivered production pilots and PoCs that moved real business outcomes—building a GenAI sales agent that made customer acquisition 6x cheaper, and developing RAG systems used in workflows processing 1M+ annual applications.
I’m especially focused on reliability: I’ve improved document screening accuracy to 95%+ and accelerated retrieval indexing by 95%+ while preserving 90%+ recall. I enjoy translating CTO-level needs into evaluation benchmarks and infrastructure, and I’ve deployed pilots across Azure and Google Cloud while mentoring engineers through KT sessions and self-service improvement loops.
Experience
Work history, roles, and key accomplishments
AI Engineer
Xseed Solutions
Sep 2025 - Present (10 months)
Contracted via Xseed Solutions to deliver Azure-based AI pilots, including an OCR evaluation approach and a document-type screening workflow for 1M+ annual applications. Built React frontends and owned end-to-end deployment to Azure VM environments while mentoring engineers.
AI Engineer
Qive
Feb 2025 - Aug 2025 (6 months)
Led product and technical delivery of a 6-month RAG proof-of-concept, translating CTO-level requirements into evaluation benchmarks and Vertex AI infrastructure. Improved RAG-based product deduplication by accelerating Weaviate indexing and optimizing retrieval for higher recall with fewer candidates, while interviewing and mentoring engineers to support production transition.
AI Engineer
C6 Bank
Oct 2023 - Feb 2025 (1 year 4 months)
Built a GenAI card-upgrade sales agent using LangChain and LangGraph, launching a production pilot with 300+ users and improving customer acquisition efficiency. Rescued and optimized a GCP RAG system for bank product Q&A by reducing inference costs and improving accuracy using Datastore search features and prompt engineering.
AI Engineer
Argilla, CExIA & NeuralMind
Sep 2020 - May 2022 (1 year 8 months)
Implemented embedding-based annotation features for Argilla, contributing substantial production-ready open-source NLP tooling and collaborating on research-to-production workflows. Won international NLP competitions across legal entailment, semantic similarity, and aspect-based sentiment analysis using Transformer-based systems.
Education
Degrees, certifications, and relevant coursework
University of the Basque Country
Master in Language and Communication Technologies, Language and Communication Technologies
2021 - 2023
Erasmus Mundus double degree master delivered jointly with the University of Malta, studying Language and Communication Technologies. Awarded a full Erasmus Mundus scholarship as one of the top 5% applicants in the 2021 intake.
Federal University of Goiás (UFG)
Bachelor of Computer Science, Computer Science
2017 - 2021
Bachelor of Computer Science with twice-awarded University Council’s Certificate of Honours for top 1% students, professors, and staff. Completed degree from January 2017 to June 2021.
Availability
Location
Authorized to work in
Job categories
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